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70-475 - Designing and Implementing Big Data Analytics Solutions

The 70-475 exam is part of the Azure Big Data Analytics Solutions certification. This exam measures your ability to accomplish the below tasks based on this technology: Big Data Analytics Solutions Please note that this exam on February 2017 was updated.

This certification exam is targeted towards data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions designing and deployment strategy for an end-to-end solution, This is a list of covered topics:

  • Design for data security
  • Implement master data management solutions
  • Troubleshoot data integration issues
  • Deploy con configure SSIS solutions
  • Ingest data for real-time processing
  • Move, transform, and analyze data using MapReduce
  • Design and provision compute clusters
  • Create and monitor a data factory

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This Web Simulator is for Microsoft data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions.

Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx

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Microsoft 70-475日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop and optimize data pipelines- Data ingestion and transformation workflows
- Performance tuning and scaling considerations
Topic 2: Implement data processing solutions- Batch processing with distributed computing
  • 1. Apache Spark processing
    • 2. Hadoop / HDInsight clusters
      - Stream processing implementation
      • 1. Azure Event Hubs ingestion
        • 2. Azure Stream Analytics jobs
          Topic 3: Design big data analytics solution- Select appropriate big data architecture (batch vs streaming vs hybrid)
          - Design data storage strategy using Azure data services
          • 1. Blob storage vs data lake considerations
            • 2. Azure Data Lake Storage concepts
              Topic 4: Secure and monitor big data solutions- Monitoring and troubleshooting data pipelines
              - Data security and access control

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